{"id":"W3017542600","doi":"","title":"Snowflake Size Distribution Measurements in South Central Ontario, Canada","year":2007,"lang":"en","type":"article","venue":"AGUSM","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Geography; Snowflake; Distribution (mathematics); Mathematics; Meteorology; Snow","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002363633,0.0001924355,0.000245741,0.001296189,0.003167758,0.0008221262,0.0005877995,0.0002078088,0.00183597],"category_scores_gemma":[0.0007756866,0.0002308225,0.0001856618,0.001956781,0.0005118764,0.0003267017,0.0004912658,0.0002480165,0.0003638187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01574103,"about_ca_system_score_gemma":0.01413608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9946583,"about_ca_topic_score_gemma":0.9992592,"domain_scores_codex":[0.999713,0.0000147222,0.00001516798,0.00005688098,0.0001168476,0.00008349011],"domain_scores_gemma":[0.9986609,0.00007554134,0.0001279871,0.0000292046,0.0008989837,0.0002073896],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003129074,0.00004466597,0.9603468,0.00007151378,0.00005827758,0.0001955797,0.005375576,0.0004939612,0.005828233,0.0002436962,0.004246414,0.0227823],"study_design_scores_gemma":[0.000004532993,0.000007789456,0.9963301,0.000009140122,0.000006809335,0.00001765267,0.00121983,0.0002251834,0.0002814128,0.00001406562,0.001878412,0.000005110735],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9903029,0.0001711143,0.0002336735,0.00007914394,0.000006331741,0.00004092517,0.003798637,0.00002779774,0.005339397],"genre_scores_gemma":[0.9904068,0.0001757388,0.0007615363,0.00005141147,0.000003718971,0.00004286398,0.001966069,0.00001500304,0.006576945],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01574103,"threshold_uncertainty_score":0.1142097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042508609346619,"score_gpt":0.1943085387034986,"score_spread":0.1838834526100324,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}